A Hybrid Workflow for Fracture Geometry Characterization: Forward Propagation Modeling Integrated with In-Well DAS Data Interpretation

Abstract Distributed Acoustic Sensing (DAS) has emerged as a precise and effective technique for real-time profiling of hydraulic fracturing injection distribution. This study presents a novel hybrid workflow that integrates a forward fracture propagation model with real-time in-well DAS interpretation to quantitatively characterize fracture geometry in unconventional reservoirs. By integrating high-frequency DAS data in real time, the workflow provides enhanced insight into fracture propagation dynamics, supporting more effective fracture design and stimulation optimization. The workflow incorporates interpreted multi-cluster inflow from in-well DAS signals into a physics-based forward fracture model. Initially, DAS data are processed using an advanced signal interpretation algorithm that isolates critical frequency bands, enabling detailed analysis of acoustic responses associated with fracture events. The spatial distribution of fluid and proppant injection along the horizontal well is then quantified and input into the forward model. This coupling enables dynamic visualization and simulation of fracture growth, including fracture length, height, and azimuth, throughout the treatment stage, offering real-time feedback for fracture geometry characterization. The methodology was successfully applied in field studies using high-frequency DAS data acquired during a multi-cluster fracturing operation, demonstrating the ability to resolve individual cluster behavior, estimate injection volumes per stage, and track evolving fracture geometries in real time. The hybrid approach allows for continuous model refinement driven by field data, enabling adaptive decision-making during treatment. This represents the first field application that integrates real-time DAS interpretation with forward fracture modeling for quantitative fracture geometry analysis, offering a dynamic and data-driven solution to improve cluster efficiency and enhance the overall effectiveness of hydraulic stimulation in unconventional reservoirs.